Package: psychonetrics 0.13

Sacha Epskamp

psychonetrics: Structural Equation Modeling and Confirmatory Network Analysis

Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.

Authors:Sacha Epskamp

psychonetrics_0.13.tar.gz
psychonetrics_0.13.tar.gz(r-4.5-noble)psychonetrics_0.13.tar.gz(r-4.4-noble)
psychonetrics_0.13.tgz(r-4.4-emscripten)
psychonetrics.pdf |psychonetrics.html✨
psychonetrics/json (API)
NEWS

# Install 'psychonetrics' in R:
install.packages('psychonetrics', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sachaepskamp/psychonetrics/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

2.55 score 39 scripts 737 downloads 3 mentions 81 exports 109 dependencies

Last updated 5 months agofrom:79d69e341a. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 24 2024
R-4.5-linux-x86_64OKNov 24 2024

Exports:addfitaddMIsaddSEsaggregate_bootstrapsbifactorbootstrapchangedatacheckFishercheckJacobiancholeskyCIplotcomparecorrcovMLcovMLtoUBcovUBtoMLdiagonalizationMatrixdlvm1duplicationMatrixeliminationMatrixemergencystartesaesa_manualfactorscoresfitfixparfixstartfreepargenerategetmatrixgetVCOVggmgroupequalgroupfreegvaridentifyintersectionmodelIsinglatentgrowthlnmlogbooklrnmlvmmeta_ggmmeta_varcovMIsml_gvarml_lnmml_lrnmml_lvmml_rnmml_ts_lvgvarml_tsdlvm1ml_varmodelsearchpanel_lvgvarpanelgvarpanelvarparametersparequalpartialpruneprecprecisionpruneresidresidualsrnmrunmodelsetestimatorsetoptimizersetverboseshowsimplestructurestepuptransmodts_lvgvartsdlvm1unionmodelusecppvar1varcov

Dependencies:abindbackportsbase64encbootbslibcachemcheckmatecliclustercodetoolscolorspacecombinatcorpcorcpp11crayondata.tabledigestdplyrevaluatefansifarverfastmapfdrtoolfontawesomeforeachforeignFormulafsGAgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphIsingSamplerisobanditeratorsjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelme4magrittrMASSMatrixmemoisemgcvmimeminqamnormtmunsellnlmenloptrnnetnumDerivoptimxpbapplypbivnormpbvpillarpkgconfigplyrpngpracmapsychpurrrqgraphquadprogR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrmarkdownroptimrpartrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytexutf8VCAvctrsviridisviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Structural Equation Modeling and Confirmatory Network Analysispsychonetrics-package psychonetrics
Aggregate Bootstrapped Modelsaggregate_bootstraps
Bi-factor modelsbifactor
Bootstrap a psychonetrics modelbootstrap
Change the data of a psychonetrics objectchangedata
Plot Analytic Confidence IntervalsCIplot
Model comparisoncompare print.psychonetrics_compare
Maximum likelihood covariance estimatecovML covMLtoUB covUBtoML
Diagnostic functionscheckFisher checkJacobian
Lag-1 dynamic latent variable model family of psychonetrics models for panel datadlvm1 panelgvar panelvar panel_lvgvar
Model matrices used in derivativesdiagonalizationMatrix duplicationMatrix eliminationMatrix
Reset starting values to simple defaultsemergencystart
Ergodic Subspace Analysisesa esa_manual plot.esa plot.esa_manual print.esa print.esa_manual
Compute factor scoresfactorscores
Print fit indicesfit
Parameters modificationfixpar freepar
Attempt to Fix Starting Valuesfixstart
Generate data from a fitted psychonetrics objectgenerate
Extract an estimated matrixgetmatrix
Obtain the asymptotic covariance matrixgetVCOV
Group equality constrainsgroupequal groupfree
Ising modelIsing
Jonas datasetJonas
Latnet growth curve modellatentgrowth
Retrieve the psychonetrics logbooklogbook
Continuous latent variable family of psychonetrics modelslnm lrnm lvm rnm
Variance-covariance and GGM meta analysismeta_ggm meta_varcov
Print modification indicesMIs
Multi-level latent variable model familyml_lnm ml_lrnm ml_lvm ml_rnm
Multi-level Lag-1 dynamic latent variable model family of psychonetrics models for time-series dataml_gvar ml_tsdlvm1 ml_ts_lvgvar ml_var
Stepwise model searchmodelsearch
Print parameter estimatesparameters
Set equality constrains across parametersparequal
Partial pruning of multi-group modelspartialprune
Stepdown model search by pruning non-significant parameters.prune
Class '"psychonetrics_bootstrap"'psychonetrics_bootstrap-class show,psychonetrics_bootstrap-method
Class '"psychonetrics"'psychonetrics_log-class show,psychonetrics_log-method
Model updating functionsaddfit addMIs addSEs identify
Class '"psychonetrics"'psychonetrics-class resid,psychonetrics-method residuals,psychonetrics-method show,psychonetrics-method
Run a psychonetrics modelrunmodel
Convenience functionssetestimator setoptimizer usecpp
Should messages of computation progress be printed?setverbose
Generate factor loadings matrix with simple structuresimplestructure
Star Wars datasetStarWars
Stepup model search along modification indicesstepup
Transform between model typestransmod
Lag-1 dynamic latent variable model family of psychonetrics models for time-series datatsdlvm1 ts_lvgvar
Unify models across groupsintersectionmodel unionmodel
Lag-1 vector autoregression family of psychonetrics modelsgvar var1
Variance-covariance family of psychonetrics modelscholesky corr ggm prec precision varcov